General information

Catalog no.: 00860721
Credit points: 3
Prerequisite: 00840738—Control Theory
Grading policy: lecture-time quizzes—20% (magen, average of 5 best out of 6), provided the final exam is passed
homework—40% (tokef, average of 3 best out of 4)
final exam—40% (or 60%, if its grade is lower than 55)
Passing policy: Minimum passing grade is 55; only those who submitted all homework solutions are eligible to take the final exam

Lecturer

Leonid Mirkin, 653 Lady Davis Bld., phone: 3149, email: 

Classes

Wednesday, 17:30-20:20, room 283, Lady Davis Bld.

Final exams

Moed Date Time Location
א׳ Aug 4 9:00 Lady Davis 658
ב׳ Sep 8 9:00 Lady Davis 283

Syllabus

  1. linear algebra: sign definite matrices, block matrices, Schur complement, matrix equations (Sylvester, Lyapunov, Riccati)
  2. state-space realizations: canonical realizations, poles and zeros via realizations, connecting systems in state space
  3. structural properties of realizations (controllability, observability, minimality, etc)
  4. modal state feedback ideas: Ackermann's formula, quadratic Lyapunov functions and LMIs (linear matrix inequalities)
  5. optimization-based state feedback ideas: finite- and infinite-horizon LQR, properties of the optimal solution
  6. state observers: full- and reduced-order, optimal observers (deterministic Kalman filter)
  7. observer-based feedback, LQG, system design via LQG
  8. handling disturbances: disturbance observers, internal-model control, H-inf state feedback
  9. introduction to MPC (Model Predictive Control)

both continuous- and discrete-time results will be studied for most topics

Literature

Lectures

  1. a crash review of DS and CT material (my perspective)
  2. linear algebra: more and less familiar results (also in beamer mode)
  3. state-space realizations, system interconnections (also in beamer mode)
  4. state feedback regulation via pole placement; controllability and stabilizability (also in beamer mode)
  5. state feedback regulation via LQR, algebraic Riccati equations (also in beamer mode)updated 31.5.2026
    m-file for the classes 4 and 5
  6. LQR solution and its properties (also in beamer mode)
  7. state-feedback regulation via quadratic Lyapunov functions and LMIs; state observers (also in beamer mode)
  8. observability, minimality, state observers (full- and reduced-order); observer-based feedback (also in beamer mode)
  9. tracking; disturbances: exosystems, regulator equation, internal-model control (also in beamer mode)
  10. state observers under disturbances and noises, Kalman–Busy filter, LQG (also in beamer mode)
  11. H-inf state feedback, filtering, output feedback (also in beamer mode)
  12. discrete-time control and estimation in state space (also in beamer mode)
  13. discrete-time control and estimation in state space (contd) (also in beamer mode)

Homework assignments

  1. homework 1 (submission deadline: May 27, 13:00)
  2. homework 2 (submission deadline: Jun 23, 20:00)
  3. homework 3 (submission deadline: Jul 8, 13:00)
  4. homework 4 (submission deadline: Jul 24, 13:00)

Exams